Deep Learning has garnered significant attention in the field of object detection and is
widely used in both industry and everyday life. The objective of this study is to investigate the …

3D Multi-Object Tracking (MOT) has achieved tremendous achievement thanks to the rapid
development of 3D object detection and 2D MOT. Recent advanced works generally employ …

The point cloud based 3D single object tracking has drawn increasing attention. Although
many breakthroughs have been achieved, we also reveal two severe issues. By extensive …

Depth perception is a crucial component of monoc-ular 3D detection tasks that typically
involve ill-posed problems. In light of the success of sample mining techniques in 2D object …

The efficiency of truck loading-and-unloading tasks has become one of the major problems
in logistics transportation, and intelligent loading-and-unloading robots are considered as …

Most anchor‐based detectors use intersection over union (IoU) to assign targets to anchors
during training. However, IoU did not pay enough attention to the proximity of the anchor's …

Robotic picking systems in automated logistics require accurate segmentation and
localization of densely stacked cartons. However, the lack of comprehensive and diverse …

3D Multi-Object Tracking (MOT) has achieved tremendous achievement thanks to the rapid
development of 3D object detection and 2D MOT. Recent advanced works generally employ …

Unattended intelligent cargo handling is an important means to improve the efficiency and
safety of port cargo trans-shipment, where high-precision carton detection is an …

We developed an object-recognition method that enables six degrees of freedom (6DoF)
pose and size estimation of shrink-wrapped items for use with a mixed depalletizing robot …